338
Views
2
CrossRef citations to date
0
Altmetric
Articles

City Transit Rider Tweets: Understanding Sentiments and Politeness

ORCID Icon &
Pages 111-126 | Published online: 26 Apr 2021
 

ABSTRACT

With the expanding popularity of Web 2.0, there has been a huge surge in the use of social media, like Twitter, to express user sentiments or opinions. Delays and breakdowns in transit operations can make riders annoyed and irritated, and as a result, they express their anger and frustration via social media posts. Understanding the tipping points of public frustration will help in developing better solutions. This study aims to develop a framework by developing multilevel sentiment analysis and determine the emotion and politeness measures using transit-related tweets from New York (New York City) and California (San Francisco). The popular hashtags associated with the transit systems of New York and California were collected during 2019. The words associated with negative sentiments widely differ in these two states. Moderate levels of differences are seen in the politeness measures for these two states. Additionally, co-occurrence measures associated with negative emotions identified unique issues based on the demographics. This study demonstrates that Twitter provides a great opportunity to understand the public perception of transit, and the findings can help authorities design a more efficient transit system to improve user experience.

Acknowledgments

The authors would also like to thank two anonymous reviewers. We have tried to incorporate as many as possible of their insightful suggestions.

Additional information

Notes on contributors

Subasish Das

Subasish Das, is an assistant research scientist with Texas A&M Transportation Institute in Bryan, Texas.

Hamsa Abbas Zubaidi

Hamsa Abbas Zubaidi, is a Ph.D. candidate in the Civil and Construction Engineering Department at Oregon State University, Corvallis, Oregon.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 392.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.